Technology Options for Low-Cost On-Demand Seismic Monitoring in Deepwater Brazil

López, Jorge L.; Cox, Barbara; Hatchell, Paul; Wang, K.

doi:10.1190/sbgf2017-341

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Cited by 5 publications

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“…The seismic industry has made strides to reduce these. An overview of possible low-cost seismic technologies for pre-salt monitoring are discussed in Lopez et al, 2017. Simultaneous source (blended) acquisition for OBN is becoming more popular with relatively broad acceptance for 3D imaging, for example see Zhuang et al (2017).…”

Section: The Road Aheadmentioning

confidence: 99%

OBN for pre-salt imaging and reservoir monitoring – Potential and road ahead

Cypriano¹,

Yu²,

Ferreira³

et al. 2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Section: The Road Aheadmentioning

confidence: 99%

OBN for pre-salt imaging and reservoir monitoring – Potential and road ahead

Cypriano¹,

Yu²,

Ferreira³

et al. 2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Comparative analysis of eikonal‐based first‐arrival tomography: A case study from the Santos Basin, Brazil

Alves,

Cetale,

da Silva

et al. 2024

Geophysical Prospecting

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We compare classical and adjoint‐state first‐arrival tomography approaches in subsurface model reconstruction, focusing on pre‐salt updates with a circular‐shot ocean bottom node geometry. The investigation demonstrates that, whereas conventional tomography has faster convergence and better alignment with observed data, it produces significant noise artefacts and fails to adequately represent the reservoir section. In contrast, adjoint‐state tomography provides superior model reconstruction by taking into account the complete travel time volume, significantly lowering noise and boosting reservoir imaging despite its higher computational cost. A quantitative investigation of root mean squared errors for ultra‐long offsets confirms the efficacy of adjoint‐state tomography in minimizing data misfit and improving model fidelity. The findings emphasize the potential of adjoint‐state tomography in enhancing subsurface imaging and underscore the limits of conventional tomography in handling complex subsurface details with sparse acquisition geometry.

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